Asthma Disease Of Traditional Chinese Medicine Research Based On Medical Business Information

With the deepening of TCM clinical research, accelerate the process of hospital information,medical records database hospital patient prescription data accumulated a large amount of the original does not deal with, and accompanied by a rapid increase in the data, it is difficult to rely on traditional methods doctors in short time through a simple process and induction, summarize these prescription data to learn which contains lots of useful information and experience. Then we have to adopt new techniques to achieve inheritance and innovation of traditional Chinese medicine treatment experience. Data Mining(Data Mining, DM) An automatic access to useful information, analyze information about potential links between knowledge discovery information processing technology, which is used in hospital patient prescription data analysis features, which you can find inside the potential inherent in the treatment of law new treatment methods and theory, the effective realization of TCM and experience and heritage.This paper focuses on data mining technology through examples of various algorithms of association rules detailed analysis and research, summarizes the advantages and disadvantages of each method, but for the lack of traditional association rules algorithm, based on the data leads to a splitting technique FP-growth algorithm is distributed and made a detailed analysis of the algorithm, but also in its theoretical algorithm based on the existence of a large number of the same disorder repeated problems with TCM prescription data based on the characteristics of outpatient prescriptions, a new outpatient prescription data for mining Distributed FP-growth and improved algorithm chooses Hospital of Zhejiang Province Hospital Information System outpatient database national old TCM treatment of asthma disease as prescription data mining objects, and found a "medicine- disease", potential association between the modes- "medicine medicine", combined with Chinese classics preliminary data analysis and evaluation of the validity of the law of association patterns born of treatment, and to verify the applicability ofdata mining association rules on technical analysis and research of traditional Chinese medicine prescription and feasible sex and the design and implementation of a distributed algorithm FP-growth improvedhospital prescription data mining system on the basis of the theory.